An Implementation of Neuro-Fuzzy System for Gait Analysis in a Smart Insole of Exoskeleton
| Autor: | Do Xuan Phu, Ta Duc Huy, Tran Hoang Ha |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Neuro-fuzzy Artificial neural network business.industry Computer science Vibration control Pattern recognition 02 engineering and technology Interval (mathematics) Fuzzy logic Exoskeleton 020901 industrial engineering & automation Gait (human) Gait analysis 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | 2018 4th International Conference on Green Technology and Sustainable Development (GTSD). |
| Popis: | This study presents an implementation of neuro-fuzzy model in a smart insole for exoskeleton to extract features using for control. The features are found based on the walking state of the human. The model of fuzzy C means is applied based on the interval type 2 fuzzy. The gait phases of the smart insole are analyzed within a gait cycle of human motion. Due to the boundaries among the gait phases, fuzzy inference is used for finding these variations. In addition, the neural network structure uses as the training role for both the fuzzy membership function parameters and its weights. The results show that states of human motions can be filtered by the neuro-fuzzy model at 98.14%. |
| Databáze: | OpenAIRE |
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